Hybrid Selection Method of Feature Variables and Prediction Modeling for Municipal Solid Waste Incinerator Temperature

It is difficult to establish an accurate mechanism model for prediction incinerator temperatures due to the comprehensive complexity of the municipal solid waste (MSW) incineration process. In this paper, feature variables of incineration temperature are selected by combining with mutual information...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Switzerland), 2021-11, Vol.21 (23), p.7878, Article 7878
Hauptverfasser:	Guo, Jingcheng, Yan, Aijun
Format:	Artikel
Sprache:	eng
Schlagworte:	Air flow Algorithms Approximation Burnout Chemistry Chemistry, Analytical Combustion Decomposition Efficiency Engineering Engineering, Electrical & Electronic Feature selection Genetic algorithms Incineration incinerator temperature prediction Incinerators Instruments & Instrumentation Methods Modelling Municipal solid waste Municipal waste management Neural networks Physical Sciences Prediction models Probability distribution Science & Technology Solid waste management stochastic configuration networks Support vector machines Technology Variables
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